We use intraday data to compute weekly realized variance, skewness, and kurtosis for equity returns and study the realized moments' time-series and cross-sectional properties. We investigate if this week's realized moments are informative for the cross-section of next week's stock returns. We...

We use 92,632,873 daily returns for 33,010 US firms to establish the best forecasting model for realized idiosyncratic variances. Comparing forecasts from 10 different models, we find that the most popular models, the martingale and GARCH type models, perform worst. Using the...

I show in a setting of a buyer and seller with the same preferences trading two related assets so as to share volatility risk that illiquidity and virtually all impediments to trade cannot be priced in the absence of excess short-selling costs. This is because the buyer values the asset at the...

We develop a model of international portfolio choice in complete and incomplete markets with stochastic covariance between financial asset returns and exchange rates. The optimal investment strategies are derived in closed form. We estimate the model parameters and illustrate the optimal...

The present study examines the cross-sectional pricing ability of idiosyncratic volatility (IV) in Indian stock market and investigates the relationship amongst expected idiosyncratic volatility (EI), unexpected idiosyncratic volatility (UI), and cross-section of stocks returns. The study uses...

The profitability of a trading system based on the momentum-like effects of price jumps was tested on the time series of 7 assets (EUR/USD, GBP/USD, USD/CHF and USD/JPY exchange rates and Light Crude Oil, E-Mini S&P 500 and VIX Futures), in each case for 7 different frequencies (ranging from...

This paper introduces a new jump diffusion process where the occurrence and the size of past jumps have an impact on both the instantaneous and the long term propensities of observing a jump instantaneously. Here, the intensity of jump arrival is a multifactor self-excited process whereas the...

We estimate a joint multivariate jump-diffusion model using daily data for three fundamental stock market factors: market return, value, and momentum. We focus on the description of risk represented by the joint dynamics of factor volatilities and extreme events. With regard to extreme events,...